Instructions to use NjProVk/Ornith-1.5-35B-A3B-abliterated-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use NjProVk/Ornith-1.5-35B-A3B-abliterated-GGUF with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf NjProVk/Ornith-1.5-35B-A3B-abliterated-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf NjProVk/Ornith-1.5-35B-A3B-abliterated-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf NjProVk/Ornith-1.5-35B-A3B-abliterated-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf NjProVk/Ornith-1.5-35B-A3B-abliterated-GGUF:Q4_K_M

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf NjProVk/Ornith-1.5-35B-A3B-abliterated-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf NjProVk/Ornith-1.5-35B-A3B-abliterated-GGUF:Q4_K_M

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf NjProVk/Ornith-1.5-35B-A3B-abliterated-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf NjProVk/Ornith-1.5-35B-A3B-abliterated-GGUF:Q4_K_M

Use Docker

docker model run hf.co/NjProVk/Ornith-1.5-35B-A3B-abliterated-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use NjProVk/Ornith-1.5-35B-A3B-abliterated-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "NjProVk/Ornith-1.5-35B-A3B-abliterated-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "NjProVk/Ornith-1.5-35B-A3B-abliterated-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/NjProVk/Ornith-1.5-35B-A3B-abliterated-GGUF:Q4_K_M

Ollama
How to use NjProVk/Ornith-1.5-35B-A3B-abliterated-GGUF with Ollama:
```
ollama run hf.co/NjProVk/Ornith-1.5-35B-A3B-abliterated-GGUF:Q4_K_M
```
Unsloth Desktop

How to use NjProVk/Ornith-1.5-35B-A3B-abliterated-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf NjProVk/Ornith-1.5-35B-A3B-abliterated-GGUF:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "NjProVk/Ornith-1.5-35B-A3B-abliterated-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use NjProVk/Ornith-1.5-35B-A3B-abliterated-GGUF with Docker Model Runner:
```
docker model run hf.co/NjProVk/Ornith-1.5-35B-A3B-abliterated-GGUF:Q4_K_M
```

Lemonade

How to use NjProVk/Ornith-1.5-35B-A3B-abliterated-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull NjProVk/Ornith-1.5-35B-A3B-abliterated-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Ornith-1.5-35B-A3B-abliterated-GGUF-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use NjProVk/Ornith-1.5-35B-A3B-abliterated-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf NjProVk/Ornith-1.5-35B-A3B-abliterated-GGUF:Q4_K_M

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default NjProVk/Ornith-1.5-35B-A3B-abliterated-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use NjProVk/Ornith-1.5-35B-A3B-abliterated-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf NjProVk/Ornith-1.5-35B-A3B-abliterated-GGUF:Q4_K_M

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "NjProVk/Ornith-1.5-35B-A3B-abliterated-GGUF:Q4_K_M" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

Ornith-1.5-35B-A3B-abliterated-GGUF

This repository provides GGUF quantizations of the uncensored (abliterated) version of Ornith-1.5-35B-A3B.

Safety guardrails and refusal mechanisms have been surgically neutralized across the Mixture-of-Experts (MoE) layers while preserving the base model's full capabilities, reasoning quality, and expert routing.

📦 Available Quants

File	Quant	Size / RAM	Description
`Ornith-1.5-35B-A3B-abliterated-Q4_K_M.gguf`	Q4_K_M	Recommended	Best balance between memory usage, speed, and quality.
`Ornith-1.5-35B-A3B-abliterated-Q5_K_M.gguf`	Q5_K_M	Medium-High	Higher quality, minimal perplexity degradation.
`Ornith-1.5-35B-A3B-abliterated-Q6_K.gguf`	Q6_K	High	Near-lossless output quality.
`Ornith-1.5-35B-A3B-abliterated-Q8_0.gguf`	Q8_0	Very High	Full 8-bit precision, closest to 16-bit original.

🚀 Usage

llama.cpp CLI

Make sure you are using a recent version of llama.cpp:

llama-cli \
  -m Ornith-1.5-35B-A3B-abliterated-Q4_K_M.gguf \
  -p "You are a helpful assistant." \
  -c 32768 \
  -ngl 99 \
  --temp 0.7

LM Studio / Ollama / Other UI

Copy the repo link: NjProVk/Ornith-1.5-35B-A3B-abliterated-GGUF
Download your preferred quantization.
Configure context length and GPU layers to fit your hardware.

⚙️ Recommended Settings

Temperature: 0.6 – 0.8 (Lower for coding/logic, higher for creative roleplay/writing)
Top-P: 0.9 – 0.95
Min-P: 0.05

⚠️ Disclaimer

Uncensored Outputs: This model is fully uncensored and will not refuse sensitive prompts. It may generate controversial, adult, or unfiltered content.
Responsibility: The user assumes full responsibility for any content generated and must comply with applicable local laws.
Intended Use: For research, roleplay, creative writing, and testing in controlled environments.

Downloads last month: 3,083

GGUF

Model size

35B params

Architecture

qwen35moe

Hardware compatibility

4-bit

5-bit

6-bit

8-bit

16-bit

Model tree for NjProVk/Ornith-1.5-35B-A3B-abliterated-GGUF

Base model

ornith-ai/Ornith-1.5-35B-A3B

Quantized

(132)

this model